View source: R/proportional_hazards_data.R
Not to be used directly by users
1  glmnet_fit_wrapper(x, y, alpha = 1, lambda = NULL, ...)

x 
input matrix, of dimension nobs x nvars; each row is an observation
vector. Can be in sparse matrix format (inherit from class

y 
response variable. Quantitative for 
alpha 
The elasticnet mixing parameter, with 0≤α≤ 1. The penalty is defined as (1α)/2β_2^2+αβ_1.

lambda 
A user supplied 
... 
additional parameters passed to glmnet::glmnet. 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.